“You’ll never manage to do that in one hour”
Figure 1: The four stations
Figure 2: Evolution of ideas and clusters at the Monaco station
Figure 3: Final picture of the challenges generated at the D-Shop station
Figure 4: Final picture of the ideas generated at the Nice station
Figure 5: Final picture of the challenges generated at the station 3
Figure 5: Final picture of the ideas generated at the station 4
Universities and research institutes need to administer and manage inventory, equipment and goods. They need to know every time and everywhere, how these equipment and rooms are used. This use case is focusing on researcher in the area of experimental research (e.g. medical, biology, chemistry, etc.)
The researcher needs a way to plan research experiments especially the utilization of equipment and goods. That research itself is always running smoothly and not hindering by lack of resources. Research should be informed if a required equipment and/or goods are running out or not available. E.g. there is expiring date researcher should be informed about it.
Universities and research institutes need to know how all rooms are used to organize time tables and as well being able to book rooms containing specific equipment.
Professors and researchers need to have this insight every time and everywhere, as attendance may vary the tracking of individuals may enable to support ad-hoc optimization but also support administration to handle with emergency and provide optimal evacuation plan.
Today, the students/their parents invest in their education because they think that a good education is a passport to get a better life. However, some concerns may happen if a student is not gifted for certain topics or if the job market does not provide enough employment in these topics. Historically, the dynamicity and the tension of the job market and the innovation pace were less demanding and curriculum had the time to adapt to fill the demand but today?
Can we use AI/ML technology to anticipate the fact that graduating on a specific topic will be an asset on the job market, can we recommend options and specialization to the student that fit the best his studying profile? To summarize, can we provide to the students an intelligent career developer mentor connected to the job market?
To be successful, researchers need to collaborate across research projects while being acknowledge for their unique contribution. However, like in other domains, researchers are swamped by the data tsunami and similarly to what is happening in Social network, researchers may tend to be isolated in their projects or their research community.
How AI/ML can be used to detect optimal existing collaborations? Can automated document processing and social research network exploration enlarge the research network to adjacent fields or related problems where new research collaboration may be reciprocally beneficial? How to evaluate the pertinence to engage with new research partners on their fields based on their collaboration records and openness to cross domain fertilization?
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